PIMENTO: A primer inference toolkit to facilitate large-scale calling of amplicon sequence variants [0.03%]
辣椒素：一种 Primer 推断工具包，可促进扩增子序列变异的大规模调用
Christian Atallah,Lorna Richardson,Martin Beracochea et al.
Christian Atallah et al.
The identification of amplicon sequence variants from DNA metabarcoding data is a common method for revealing the taxonomic makeup of environmental samples, and for allowing comparative studies between similar datasets. A significant hurdle...
MPLID (Membrane Protein-Lipid Interaction Database): A Large-Scale Experimental Resource of Residue-Level Protein-Lipid Contacts [0.03%]
MPLID（膜蛋白-脂质相互作用数据库）：一个大规模的实验性资源，用于研究残基水平上的蛋白质-脂质接触点
Folorunsho Bright Omage,Goran Neshich
Folorunsho Bright Omage
Background: Membrane proteins constitute approximately 20-30% of all proteomes and represent over 60% of current drug targets. Although protein-lipid interactions play important structural and regulatory roles in membrane...
Single-cell Long-read Transcriptomics: From Technologies to Biological Insights [0.03%]
单细胞长读长转录组学：从技术到生物学见解
Ze-Hui Ren,Wenteng Liu,Jianhua Yin et al.
Ze-Hui Ren et al.
Single-cell long-read transcriptomics (scLR-seq) extends single-cell analysis beyond gene abundance by resolving full-length transcript structures in individual cells. It can directly interrogate isoform usage, alternative splicing, and tra...
Extending Protein Language Models to a Viral Genomic Scale Using Biologically Induced Sparse Attention [0.03%]
基于生物诱导稀疏注意的蛋白质语言模型在病毒基因组规模上的扩展
Thibaut Dejean,Barbra D Ferrell,Zachary D Schreiber et al.
Thibaut Dejean et al.
The transformer architecture in deep learning has revolutionized protein sequence analysis. Recent advancements in protein language models have paved the way for significant progress across various domains, including protein function and st...
KG-Microbe - Building Modular and Scalable Knowledge Graphs for Microbiome and Microbial Sciences [0.03%]
KG-微生物-MMKG模块化和可扩展的微生物组和微生物科学知识图谱
Brook E Santangelo,Harshad Hegde,J Harry Caufield et al.
Brook E Santangelo et al.
Background: The integration of many disparate forms of data is essential for understanding the microbial world and its interaction with the environment and human health. Doing so is particularly challenging in the context...
Context-aware simulation enables systematic optimization of long-read mapping parameters [0.03%]
上下文感知模拟实现了长读取映射参数的系统优化
Jiang Hu,Dongming Fang,Xin Jin et al.
Jiang Hu et al.
Long-read mapping performance is critical for downstream genomic analyses but remains sensitive to parameter selection. We present CycSim, a context-aware long-read simulator that learns sequence-context-dependent error profiles from empiri...
A comprehensive reference genome assembly dataset of birds inhabiting Denmark, Greenland, and the Faroe Islands [0.03%]
丹麦、格陵兰和法罗群岛栖息鸟类的全面参考基因组拼接数据集
Daniel Bilyeli Øksnebjerg,Sascha Dreyer Nielsen,Guangji Chen et al.
Daniel Bilyeli Øksnebjerg et al.
Background: Reference genome assemblies are essential infrastructure for investigating phylogeny, and population/conservation genetics of wild organisms. Birds serve as model vertebrates in ecology and evolutionary biolog...
NanoporeDB: A Structural Resource Of Multimeric Protein Nanopores For Single-Molecule Sensing [0.03%]
纳米孔数据库：单分子检测的多聚蛋白纳米孔结构资源
Yuqian Liu,Zidong Su,Wenzhen Yang et al.
Yuqian Liu et al.
Background: Protein nanopores are essential molecular gateways in biology and have inspired transformative technologies in biosensing and single-molecule sequencing. However, the discovery and engineering of novel nanopor...
From the Brain Cell Atlas to Precision Neurology: A review of the application of AI-driven multi-omics in brain science [0.03%]
从脑细胞图谱到精准神经病学：人工智能驱动的多组学在脑科学中的应用综述
Youzhe He,Yanrong Wei,Jingxi Zhi et al.
Youzhe He et al.
Recent advances in multi-omics technologies have catalyzed the construction of comprehensive brain cell atlases, providing essential data foundations for artificial intelligence (AI)-driven analyses in precision neurology. This review syste...
Comparison of Deep Learning Approaches for Extreme Low-SNR Image Restoration [0.03%]
低信噪比图像恢复的深度学习方法比较
Nasreen Elizabeth Buhn,Sriya Reddy Adunur,Joseph Hamilton et al.
Nasreen Elizabeth Buhn et al.
Background: Live-cell fluorescence microscopy enables the study of dynamic cellular processes. However, fluorescence microscopy can damage cells and disrupt these dynamic processes through photobleaching and phototoxicity...